Scientific activities

The Faculty of Computer Science and Mathematics discussed a doctoral thesis entitled “Human Activity Prediction Based on Deep Learning”

The thesis presented by PhD student Mohammed Khalaf Raheem, under the supervision of Professor Dr. Ali Hilal. This intriguing research explores the application of Deep Learning techniques to predict human activities using sensor data from four different public datasets. The researchers introduced an innovative model that pioneers the extraction and …

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The Faculty of Computer Science and Mathematics discussed a doctoral dissertation entitled “Heart Disease Classification System Using Effective Artificial Intelligence Techniques”.

This dissertation is presented by PhD student Zahraa Jafat Aliwi , under the supervision of Professor Dr. Ebtisam Abdullah and Asst. Prof. Dr. Salam Al-augby. This dissertation introduces a classification system using effective artificial intelligence techniques. This work evaluated the creation of artificial intelligence prediction models that are faster, more …

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Master’s thesis at the faculty of Computer Science and Mathematics discussed (A study of approximation solutions of backward doubly fuzzy stochastic differential equations)

The Faculty of Computer Science and Mathematics, Department of Mathematics, discussed the master’s thesis entitled (A study of approximation solutions of backward doubly fuzzy stochastic differential equations) for a master’s student (Hassan Khalil Ismail) and under the supervision of (Asst. Prof. Dr. Falah Hassan Sarhan). This thesis presented a study …

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Master’s thesis at the faculty discusses “Generalizations of Partial Measures Extracted from Patterns Explored”

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the master’s thesis titled “Generalizations of Partial Measures Extracted from Patterns,” authored by student Ali Isma’il Abdul Ali. The study aims to explore various concepts, including partial measures extracted from patterns, along with some fundamental properties and theorems. …

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Master’s Thesis at the Faculty of Computer Science and Mathematics, Department of Computer Science Discussing the “IOT TAG IDENTIFICATION UNDER BLOCKCHAIN”

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the master’s thesis titled “IOT TAG IDENTIFICATION UNDER BLOCKCHAIN” by the student Hamsa Hussain Abdul Sada. This study aims to create a decentralized application that protects rare genes within nature reserves as a first step, and suggests a …

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Master’s Thesis at The Faculty of Computer Science and Mathematics, Department of Computer Science Discussing the “Image Encryption using Individually Inverted Cubic Curves

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the Master’s thesis titled “Image Encryption Using Individually Inverted Cubic Curves” by Mohammad Jabbar Obeid. The study aims to propose an algorithm for asymmetric image encryption based on individually inverted cubic curves and chaotic functions. This innovative algorithm …

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Master’s thesis at the faculty discussing the detection of fake reviews based on content mining using textual and behavioral features.

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the Master’s thesis titled “Detection of Fake Reviews based on Content Mining using Textual and Behavioral Features” by the student Lina Shuja Abd Al-Zahra. The study aims to propose various methods and techniques as potential solutions to the …

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The Faculty of Computer Science and Mathematics held a workshop on “Sustainable Development and the Positive Impact of Alkaline Groundwater on the Human Body.”

The faculty of Computer Science and Mathematics at Kufa University organized a workshop on “Sustainable Development and the Positive Impact of Alkaline Groundwater on the Human Body.” The workshop was conducted by Dr. Rasha Saud Abduaal , and the first lecture was delivered by Dr. Adel Mohammed Hassan. The lecture …

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Master’s Thesis in the Faculty of Computer Science and Mathematics Discussing the Handprint

Recognition System based on Siamese Neural Network Algorithm The Faculty of Computer Science and Mathematics, Computer Science Department, discussed a master’s thesis entitled “Handprint Recognition System based on Siamese Neural Network Algorithm”; by the student Fatima Ali Amin. The study aims to propose an approach based on the Siamese network …

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Using EEG features for Authentication network

In recent years, more focus has been paid to brain biometrics research with electroencephalographic data (EEG). This study introduces a real time control system of authentication and disabled electric wheel chair based on using electroencephalography (EEG). The scientific community has recently made huge efforts to perceive the distinctive characteristics of …

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